high-dimensional data

High-dimensional data refers to information that has many different features or variables—think of it as data with numerous attributes describing each item. For example, a medical record might include age, blood pressure, cholesterol levels, and hundreds of other measurements. As the number of dimensions increases, analyzing and visualizing this data becomes more complex because patterns can be harder to detect, and traditional methods may struggle. High-dimensional data is common in areas like genetics, image analysis, and finance, where multiple factors interact, requiring specialized tools to understand the underlying structure effectively.